Yashas Malur Saidutta

According to our database, Yashas Malur Saidutta authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Theoretic Logic for Mathematical Theory of Semantic Information and Communication.

Ahmet Faruk Saz, Siheng Xiong, Yashas Malur Saidutta, Faramarz Fekri

CoRR, 2024

2023

Machine Learning for Information Exchange and Collaborative Inference over Wireless Channels.

Yashas Malur Saidutta

PhD thesis, 2023

Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning.

Ahmet Faruk Saz, Yashas Malur Saidutta, Faramarz Fekri, Mustafa Riza Akdeniz, Brandon Edwards, Nageen Himayat

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.

Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching Hua Lee, Yilin Shen, Hongxia Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.

Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Ching Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

CoRR, 2022

A Machine Learning Framework for Privacy-Aware Distributed Functional Compression over AWGN Channels.

Yashas Malur Saidutta, Faramarz Fekri, Afshin Abdi

Proceedings of the IEEE Information Theory Workshop, 2022

2021

Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

IEEE J. Sel. Areas Commun., 2021

Social event planning using hybrid pairwise Markov random fields.

Xiao Li, Yashas Malur Saidutta, Faramarz Fekri

Int. J. Intell. Syst., 2021

Analog Joint Source-Channel Coding for Distributed Functional Compression using Deep Neural Networks.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

VAE for Joint Source-Channel Coding of Distributed Gaussian Sources over AWGN MAC.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Analog Compression and Communication for Federated Learning over Wireless MAC.

Afshin Abdi, Yashas Malur Saidutta, Faramarz Fekri

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019

Joint Source-Channel Coding for Gaussian Sources over AWGN Channels using Variational Autoencoders.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

Proceedings of the IEEE International Symposium on Information Theory, 2019

M to 1 Joint Source-Channel Coding of Gaussian Sources via Dichotomy of the Input Space Based on Deep Learning.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

Proceedings of the Data Compression Conference, 2019

Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders.

Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Increasing the learning Capacity of BCI Systems via CNN-HMM models.

Yashas Malur Saidutta, Jun Zou, Faramarz Fekri

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018